Official PyTorch implementation of LWSDet. [Lightweight Adaptive Feature Selection Network for Enhanced Small Object Detection in UAV Imagery] Jinxia Yu, Jie Wu, Yongli Tang Abstract To address the ...

The final rankings and Oklahoma's destination won't be known until next Sunday, but Tuesday's rankings may reveal more clues. The Oklahoma Sooners finished the 2025 regular season at 10-2, sweeping ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

Introduction: Electrencephalography (EEG)-based brain-computer interfaces (BCIs) have become popular as EEG is accepted as the simplest and non-invasive neuroimaging modality to record the brain's ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...

Abstract: Feature selection is an important task in machine learning. Most existing feature selection methods were designed for two-class classification problems. Multiclass feature selection ...

Feature selection is an important task in machine learning. Most existing feature selection methods were designed for two-class classification problems. Multiclass feature selection algorithm is less ...

Feature selection plays a crucial role in statistical learning by helping models focus on the most relevant predictors while reducing complexity and enhancing interpretability. Lasso regression has ...